Image Search and Pneumothorax Detection - A PathFinder Project
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Learn about an innovative approach to pneumothorax detection using image search technology in this 37-minute conference talk from the Toronto Machine Learning Series. Explore how automated detection systems can assist radiologists in identifying collapsed lungs on chest X-ray images. Discover the potential of using deep features and image matching to provide a "virtual second opinion" for diagnosis. Gain insights into the development of the Autoencoding Thorax Net (AutoThorax-Net) for searching a repository of over 550,000 chest X-ray images. Understand the limitations of deep learning classifiers in clinical practice and the advantages of image search as a triaging tool. Presented by Professor Hamid Reza Tizhoosh from the University of Waterloo, director of Kimia Lab and principal investigator for a PathFinder project.
Syllabus
Image Search and Pneumothorax a PathFinder Project
Taught by
Toronto Machine Learning Series (TMLS)
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